Diagnosis of hemorrhage in a prehospital trauma population using linear and nonlinear multiparameter analysis of vital signs.

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dc.contributor.authorChen, Liangyou
dc.contributor.authorReisner, Andrew T
dc.contributor.authorMcKenna, Thomas M
dc.contributor.authorGribok, Andrei
dc.contributor.authorReifman, Jaques
dc.date.accessioned2020-02-10T17:19:14Z
dc.date.available2020-02-10T17:19:14Z
dc.date.issued2007-11-16
dc.description.abstractIn this study we analyzed a dataset of time series vital signs data collected by standard Propaq travel monitor during helicopter transport of 898 civilian trauma casualties from the scene of injury to a receiving trauma center The goals of the analysis are two fold First to determine which combination of the automatically collected and qualified vital signs provides the best discrimination between casualties with and without major hemorrhage Second to determine whether nonlinear classifiers provide improved discrimination over simpler linear classifiers Major hemorrhage is defined by the presence of injuries consistent with hemorrhage in casualties who received one or more units of blood We randomly selected a subset of the casualties to train and test the classifiers with multiple combinations of the vital signs variables and used the area under the receiver operating characteristic curve ROC AUC as a decision metric Based on the results of 100 simulations we observe that i the best two features obtained are systolic blood pressure and heart rate mean AUC 0 75 from a linear classifier and ii the use of nonlinear classifiers does not improve discrimination These results support earlier findings that the interaction of systolic blood pressure and heart rate is useful for the identification of trauma hemorrhage and that linear classifiers are adequate for many real world applications
dc.identifier.urihttp://dx.doi.org/10.1109/IEMBS.2007.4353147
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/25670
dc.relation.uriConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dc.titleDiagnosis of hemorrhage in a prehospital trauma population using linear and nonlinear multiparameter analysis of vital signs.en
dcterms.abstractIn this study we analyzed a dataset of time series vital signs data collected by standard Propaq travel monitor during helicopter transport of 898 civilian trauma casualties from the scene of injury to a receiving trauma center The goals of the analysis are two fold First to determine which combination of the automatically collected and qualified vital signs provides the best discrimination between casualties with and without major hemorrhage Second to determine whether nonlinear classifiers provide improved discrimination over simpler linear classifiers Major hemorrhage is defined by the presence of injuries consistent with hemorrhage in casualties who received one or more units of blood We randomly selected a subset of the casualties to train and test the classifiers with multiple combinations of the vital signs variables and used the area under the receiver operating characteristic curve ROC AUC as a decision metric Based on the results of 100 simulations we observe that i the best two features obtained are systolic blood pressure and heart rate mean AUC 0 75 from a linear classifier and ii the use of nonlinear classifiers does not improve discrimination These results support earlier findings that the interaction of systolic blood pressure and heart rate is useful for the identification of trauma hemorrhage and that linear classifiers are adequate for many real world applications
dcterms.contributorChen, Liangyou
dcterms.contributorReisner, Andrew T
dcterms.contributorMcKenna, Thomas M
dcterms.contributorGribok, Andrei
dcterms.contributorReifman, Jaques
dcterms.identifierhttp://dx.doi.org/10.1109/IEMBS.2007.4353147
dcterms.relationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dcterms.titleDiagnosis of hemorrhage in a prehospital trauma population using linear and nonlinear multiparameter analysis of vital signs.en
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